Wind data extrapolation and stochastic field statistics estimation via compressive sampling and low rank matrix recovery methods

Keyphrases

• Spatial Dimension 100%
• Compressive Sampling 100%
• Recovery Method 100%
• Stochastic Fields 100%
• Wind Data 100%
• Low-rank Matrix Recovery 100%
• Field Statistics 100%
• Data Extrapolation 100%
• Proposed Methodology 66%
• Missing Data 33%
• Structural System 33%
• Computational Challenges 33%
• Numerical Examples 33%
• Wind Field 33%
• Spatial Domain 33%
• Computational Cost 33%
• Power Spectral Density 33%
• Vertical Dimension 33%
• Hazard Model 33%
• Measurement Record 33%
• Environmental Hazards 33%
• Wind Turbine System 33%
• Low-rank Matrix 33%
• Historical Reconstruction 33%
• Specific Point 33%
• Reweighting Scheme 33%
• Nuclear Norm Minimization 33%
• Matrix Norm 33%
• Adaptive Base 33%
• Wavenumber Spectrum 33%
• L1-norm Minimization 33%
• Performance-based Design Optimization 33%

Engineering

• Compressive Sampling 100%
• Spatial Dimension 100%
• Time History 100%
• Joints (Structural Components) 33%
• Structural System 33%
• Numerical Example 33%
• Dimensional Domain 33%
• Spatial Domain 33%
• Wind Turbine System 33%
• Based Design Optimization 33%
• Computational Cost 33%
• Power Spectral Density 33%
• Turbine 33%
• Tower 33%